Estimation of annual average daily traffic with optimal adjustment factors

Alonso, Borja; Ibeas, Ángel; Moura, José Luis; Romero, Juan Pablo

doi:10.1680/tran.12.00074

Cited by 2 publications

(2 citation statements)

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“…After the research, counting and interviewing was done using the MS Exel program. Using the ratio between counting and interviewing, it is possible to find traffic volume for 12 h. Converting traffic from 12h into 24h has been done by employing related correction coefficient gained Ke,Kint and Kcon which shows traffic volumes as AADT [25]. The final origin-destination (O-D) matrix is established by processing and interconnecting counting and interviews of traffic participants for the period of time 24h, by Equation 1.…”

Section: Data Collectionmentioning

confidence: 99%

Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

Дураку

Ramadani

2019

Civ Eng J

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The purpose of this study is to develop a model for traffic volume forecasting of the road network in Anamorava Region. The description of the current traffic volumes is enabled using PTV Visum software, which is used as an input data gained through manual and automatic counting of vehicles and interviewing traffic participants. In order to develop the forecasting model, there has been the necessity to establish a data set relying on time series which enables interface between demographic, socio-economic variables and traffic volumes. At the beginning models have been developed by MLR and ANN methods using original data on variables. In order to eliminate high correlation between variables appeared by individual models, PCA method, which transforms variables to principal components (PCs), has been employed. These PCs are used as input in order to develop combined models PCA-MLR and PCA-RBF in which the minimization of errors in traffic volumes forecasting is significantly confirmed. The obtained results are compared to performance indicators such R2, MAE, MSE and MAPE and the outcome of this undertaking is that the model PCA-RBF provides minor errors in forecasting.

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Section: Data Collectionmentioning

confidence: 99%

Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

Дураку

Ramadani

2019

Civ Eng J

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“…

The first group of papers considers the basics of road traffic flow on individual sections of road, looking again at the relationships between speed, flow and density that transport planners often take for granted. The third paper in this group, 'Estimation of annual average daily traffic with optimal adjustment factors' (Alonso et al, 2015) then looks at how variation in traffic flows measured over short and long periods compare and the importance of selecting locations for undertaking temporary traffic counts to combine with longer-term measurements.The second group of papers focuses on the overall performance and maintenance of the transport system as a whole. The third paper in this group, 'Estimation of annual average daily traffic with optimal adjustment factors' (Alonso et al, 2015) then looks at how variation in traffic flows measured over short and long periods compare and the importance of selecting locations for undertaking temporary traffic counts to combine with longer-term measurements.

The second group of papers focuses on the overall performance and maintenance of the transport system as a whole.

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confidence: 99%

Editorial

Waterson¹

2015

Proceedings of the Institution of Civil Engineers - Transport

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Welcome to the October 2015 issue of the Proceedings of the Institution of Civil Engineers -Transport, an issue that contains a range of papers from highly theoretical to directly practical, from network-wide scales to individual vehicles, and from authors spread across four continents.The first group of papers considers the basics of road traffic flow on individual sections of road, looking again at the relationships between speed, flow and density that transport planners often take for granted. The first two papers, 'Modelling speed-density relationship in traffic streams ' (Sarkar et al., 2015) and 'The impact of incidents on macroscopic fundamental diagrams' (Ji et al., 2015), both consider situations where the fundamental diagrams cannot be assumed to hold and that what is often considered to be a straightforward relationship can often be better modelled as a series of interconnected (and indeed overlapping) driving regimes. The third paper in this group, 'Estimation of annual average daily traffic with optimal adjustment factors' (Alonso et al., 2015) then looks at how variation in traffic flows measured over short and long periods compare and the importance of selecting locations for undertaking temporary traffic counts to combine with longer-term measurements.The second group of papers focuses on the overall performance and maintenance of the transport system as a whole. The first three papers in this group, 'Structure and topology of high-speed rail networks' (Cañizares et al., 2015), 'Vulnerability of road network based on generalised travel time' (An et al., 2015) and 'Waterbus system optimisation for low-carbon transportation ' (Yu et al., 2015) consider different modes of transport, but all show how the design of the network in relation to its fundamental connectedness influences the core performance of the network and its resilience in stressed times of operation. The paper on 'Cross-asset management for road infrastructure networks' (Weninger-Vycudil et al., 2015) then takes the issue of resilience one step further, to consider how combining maintenance regimes for all parts of the road network can potentially produce cost benefits as well as minimising the need for disruption and reduced network capacity.Having looked at individual road sections and network-level issues, the final group of papers then considers themes related to the detailed operation and movements of specific 'vehicle' types. 'Simulation study of bicycle multi-phase crossing at intersections' (Du et al., 2015) examines a potential way to increase safety of cyclists wishing to cross conflicting traffic flows at a junction by enabling traffic streams to be crossed separately, 'Potential for increased efficiency in the Irish freight sector' (Farrell and O'Reilly, 2015) examines the potential for new technology to reduce costs through improved coordination and consolidation of freight deliveries, and finally 'A model of truck speed profiles on short upward slopes' (Arellano et al., 2015) considers the initial impacts of gradient on v...

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Estimation of annual average daily traffic with optimal adjustment factors

Cited by 2 publications

References 15 publications

Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

Development of Traffic Volume Forecasting Using Multiple Regression Analysis and Artificial Neural Network

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